Cmake 3 16 6 32 bit

Author: l | 2025-04-25

Compiling 32-bit vs 64-bit project using CMake. 16. How to install cmake on Windows 64 bit. 0. 64 bit executables not linked when the solution is created by cmake. 6. Compiling bit. 0. CMake won't link when moved to 64-bit system. 3. Why is cmake finding 32-bit libraries instead of 64-bit libs on a 64-bit system? 6. Compiling 32-bit vs 64-bit project using CMake. 3. Building for x86 and x64 platform with CMake with Xcode and Visual studio. 16. How to install cmake on Windows 64 bit. 0. Compiling 64 bit qt (from source) using cmake on windows. 6. Compiling bit. 1.

[CMake] cmake 32/64 bit

Download Cmake 3.25.0 (64-bit) Date released: 17 Nov 2022 (2 years ago) Download Cmake 3.25.0 (32-bit) Date released: 17 Nov 2022 (2 years ago) Download Cmake 3.24.3 (64-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.24.3 (32-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.24.2 (64-bit) Date released: 14 Sep 2022 (3 years ago) Download Cmake 3.24.2 (32-bit) Date released: 14 Sep 2022 (3 years ago) Download Cmake 3.24.1 (64-bit) Date released: 18 Aug 2022 (3 years ago) Download Cmake 3.24.1 (32-bit) Date released: 18 Aug 2022 (3 years ago) Download Cmake 3.24.0 (64-bit) Date released: 05 Aug 2022 (3 years ago) Download Cmake 3.24.0 (32-bit) Date released: 05 Aug 2022 (3 years ago) Download Cmake 3.23.5 (64-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.23.5 (32-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.23.4 (64-bit) Date released: 05 Oct 2022 (2 years ago) Download Cmake 3.23.4 (32-bit) Date released: 05 Oct 2022 (2 years ago) Download Cmake 3.23.3 (64-bit) Date released: 29 Jul 2022 (3 years ago) Download Cmake 3.23.3 (32-bit) Date released: 29 Jul 2022 (3 years ago) Download Cmake 3.23.2 (64-bit) Date released: 26 May 2022 (3 years ago) Download Cmake 3.23.2 (32-bit) Date released: 26 May 2022 (3 years ago) Download Cmake 3.23.1 (64-bit) Date released: 13 Apr 2022 (3 years ago) Download Cmake 3.23.1 (32-bit) Date released: 13 Apr 2022 (3 years ago)

Cmake 3.21.4 (32-bit) - FileHorse

Download Cmake 3.31.6 (64-bit) Date released: 24 Feb 2025 (2 weeks ago) Download Cmake 3.31.6 (32-bit) Date released: 24 Feb 2025 (2 weeks ago) Download Cmake 3.31.5 (64-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.31.5 (32-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.31.4 (64-bit) Date released: 11 Jan 2025 (one month ago) Download Cmake 3.31.4 (32-bit) Date released: 11 Jan 2025 (one month ago) Download Cmake 3.31.3 (64-bit) Date released: 20 Dec 2024 (3 months ago) Download Cmake 3.31.3 (32-bit) Date released: 19 Dec 2024 (3 months ago) Download Cmake 3.31.2 (64-bit) Date released: 06 Dec 2024 (3 months ago) Download Cmake 3.31.2 (32-bit) Date released: 06 Dec 2024 (3 months ago) Download Cmake 3.31.1 (64-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.31.1 (32-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.31.0 (64-bit) Date released: 06 Nov 2024 (4 months ago) Download Cmake 3.31.0 (32-bit) Date released: 06 Nov 2024 (4 months ago) Download Cmake 3.30.7 (64-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.30.7 (32-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.30.6 (64-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.30.6 (32-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.30.5 (64-bit) Date released: 08 Oct 2024 (5 months ago) Download Cmake 3.30.5 (32-bit) Date released: 08 Oct 2024 (5 months ago)

Cmake 3.22.4 (32-bit) - FileHorse

Well as all assets and scripts.F8 and F9 will visualize touch screen and object hitboxes.F10 will activate a palette overlay that shows the game's 8 internal palettes in real time.If useSteamDir is set in the config (Windows only), the game will try to load savedata from Steam's userdata directory (where the original Steam version saves to).Added the idle screen dimming feature from Sonic Mania Plus, as well as allowing the user to disable it or set how long it takes for the screen to dim.How to BuildThis project uses CMake, a versatile building system that supports many different compilers and platforms. You can download CMake here. (Make sure to enable the feature to add CMake to the system PATH during the installation!)Get the source codeIn order to clone the repository, you need to install Git, which you can get here.Clone the repo recursively, using:git clone --recursive you've already cloned the repo, run this command inside of the repository:git submodule update --init --recursiveFollow the build stepsWindowsTo handle dependencies, you'll need to install Visual Studio Community (make sure to install the Desktop development with C++ package during the installation) and vcpkg.After installing those, run the following in Command Prompt (make sure to replace [vcpkg root] with the path to the vcpkg installation!):[vcpkg root]\vcpkg.exe install glew sdl2 libogg libtheora libvorbis --triplet=x64-windows-static (If you're compiling a 32-bit build, replace x64-windows-static with x86-windows-static.)Finally, follow the compilation steps below using -DCMAKE_TOOLCHAIN_FILE=[vcpkg root]/scripts/buildsystems/vcpkg.cmake -DVCPKG_TARGET_TRIPLET=x64-windows-static -DCMAKE_PREFIX_PATH=[vcpkg root]/installed/x64-windows-static/ as arguments for cmake -B build.Make sure to replace each instance of [vcpkg root] with the path to the vcpkg installation!If you're compiling a 32-bit build, replace each instance of x64-windows-static with x86-windows-static.LinuxInstall the following dependencies: then follow the compilation steps below:pacman (Arch): sudo pacman -S base-devel cmake glew sdl2 libogg libtheora libvorbisapt (Debian/Ubuntu): sudo apt install build-essential cmake libglew-dev libglfw3-dev libsdl2-dev libogg-dev libtheora-dev libvorbis-devrpm (Fedora): sudo dnf install make gcc cmake glew-devel glfw-devel sdl2-devel libogg-devel libtheora-devel libvorbis-devel zlib-develapk (Alpine/PostmarketOS) sudo apk add build-base cmake glew-dev glfw-dev sdl2-dev libogg-dev libtheora-dev libvorbis-devYour favorite package manager here, make a pull requestAndroidFollow the android build instructions here.CompilingCompiling is as simple as typing the following. Compiling 32-bit vs 64-bit project using CMake. 16. How to install cmake on Windows 64 bit. 0. 64 bit executables not linked when the solution is created by cmake. 6. Compiling bit. 0. CMake won't link when moved to 64-bit system. 3. Why is cmake finding 32-bit libraries instead of 64-bit libs on a 64-bit system? 6.

Cmake 3.23.4 (32-bit) - FileHorse

CMake flags] {source_directory}makeArmv8 (64-bit)Clang recommendedThe following is a general recipe script that can be modified for your specific needs.# Set these variables to suit your needsNDK_PATH={full path to the NDK directory-- for example, /opt/android/android-ndk-r16b}TOOLCHAIN={"gcc" or "clang"-- "gcc" must be used with NDK r14b and earlier, and "clang" must be used with NDK r17c and later}ANDROID_VERSION={the minimum version of Android to support. "21" or later is required for a 64-bit build.}cd {build_directory}cmake -G"Unix Makefiles" \ -DANDROID_ABI=arm64-v8a \ -DANDROID_ARM_MODE=arm \ -DANDROID_PLATFORM=android-${ANDROID_VERSION} \ -DANDROID_TOOLCHAIN=${TOOLCHAIN} \ -DCMAKE_ASM_FLAGS="--target=aarch64-linux-android${ANDROID_VERSION}" \ -DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake \ [additional CMake flags] {source_directory}makex86 (32-bit)The following is a general recipe script that can be modified for your specific needs.# Set these variables to suit your needsNDK_PATH={full path to the NDK directory-- for example, /opt/android/android-ndk-r16b}TOOLCHAIN={"gcc" or "clang"-- "gcc" must be used with NDK r14b and earlier, and "clang" must be used with NDK r17c and later}ANDROID_VERSION={The minimum version of Android to support-- for example, "16", "19", etc.}cd {build_directory}cmake -G"Unix Makefiles" \ -DANDROID_ABI=x86 \ -DANDROID_PLATFORM=android-${ANDROID_VERSION} \ -DANDROID_TOOLCHAIN=${TOOLCHAIN} \ -DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake \ [additional CMake flags] {source_directory}makex86-64 (64-bit)The following is a general recipe script that can be modified for your specific needs.# Set these variables to suit your needsNDK_PATH={full path to the NDK directory-- for example, /opt/android/android-ndk-r16b}TOOLCHAIN={"gcc" or "clang"-- "gcc" must be used with NDK r14b and earlier, and "clang" must be used with NDK r17c and later}ANDROID_VERSION={the minimum version of Android to support. "21" or later is required for a 64-bit build.}cd {build_directory}cmake -G"Unix Makefiles" \ -DANDROID_ABI=x86_64 \ -DANDROID_PLATFORM=android-${ANDROID_VERSION} \ -DANDROID_TOOLCHAIN=${TOOLCHAIN} \ -DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake \ [additional CMake flags] {source_directory}makeAdvanced CMake OptionsTo list and configure other CMake options not specifically mentioned in this guide, runccmake {source_directory}orcmake-gui {source_directory}from the build directory after initially configuring the build. CCMake is a text-based interactive version of CMake, and CMake-GUI is a GUI version. Both will display all variables that are relevant to the libjpeg-turbo

Cmake 3.26.5 (32-bit) - FileHorse

(usually /usr/bin.) Next, execute the following commands:cd {build_directory}cmake -G"Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=toolchain.cmake \ -DCMAKE_INSTALL_PREFIX={install_path} \ [additional CMake flags] {source_directory}make{install_path} is the path under which the libjpeg-turbo binaries should be installed.64-bit MinGW Build on Un*x (including Mac and Cygwin)Create a file called toolchain.cmake under {build_directory}, with the following contents:set(CMAKE_SYSTEM_NAME Windows)set(CMAKE_SYSTEM_PROCESSOR AMD64)set(CMAKE_C_COMPILER {mingw_binary_path}/x86_64-w64-mingw32-gcc)set(CMAKE_RC_COMPILER {mingw_binary_path}/x86_64-w64-mingw32-windres){mingw_binary_path} is the directory under which the MinGW binaries are located (usually /usr/bin.) Next, execute the following commands:cd {build_directory}cmake -G"Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=toolchain.cmake \ -DCMAKE_INSTALL_PREFIX={install_path} \ [additional CMake flags] {source_directory}make{install_path} is the path under which the libjpeg-turbo binaries should be installed.Building libjpeg-turbo for iOSiOS platforms, such as the iPhone and iPad, use Arm processors, and all currently supported models include Neon instructions. Thus, they can take advantage of libjpeg-turbo's SIMD extensions to significantly accelerate JPEG compression/decompression. This section describes how to build libjpeg-turbo for these platforms.Armv8 (64-bit)Xcode 5 or later required, Xcode 6.3.x or later recommendedThe following script demonstrates how to build libjpeg-turbo to run on the iPhone 5S/iPad Mini 2/iPad Air and newer.IOS_PLATFORMDIR=/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platformIOS_SYSROOT=($IOS_PLATFORMDIR/Developer/SDKs/iPhoneOS*.sdk)export CFLAGS="-Wall -miphoneos-version-min=8.0 -funwind-tables"cd {build_directory}cmake -G"Unix Makefiles" \ -DCMAKE_C_COMPILER=/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/clang \ -DCMAKE_OSX_ARCHITECTURES=arm64 \ -DCMAKE_OSX_SYSROOT=${IOS_SYSROOT[0]} \ [additional CMake flags] {source_directory}makeReplace iPhoneOS with iPhoneSimulator and -miphoneos-version-min with -miphonesimulator-version-min to build libjpeg-turbo for the iOS simulator on Macs with Apple silicon CPUs.Building libjpeg-turbo for AndroidBuilding libjpeg-turbo for Android platforms requires v13b or later of the Android NDK.Armv7 (32-bit)NDK r19 or later with Clang recommendedThe following is a general recipe script that can be modified for your specific needs.# Set these variables to suit your needsNDK_PATH={full path to the NDK directory-- for example, /opt/android/android-ndk-r16b}TOOLCHAIN={"gcc" or "clang"-- "gcc" must be used with NDK r16b and earlier, and "clang" must be used with NDK r17c and later}ANDROID_VERSION={the minimum version of Android to support-- for example, "16", "19", etc.}cd {build_directory}cmake -G"Unix Makefiles" \ -DANDROID_ABI=armeabi-v7a \ -DANDROID_ARM_MODE=arm \ -DANDROID_PLATFORM=android-${ANDROID_VERSION} \ -DANDROID_TOOLCHAIN=${TOOLCHAIN} \ -DCMAKE_ASM_FLAGS="--target=arm-linux-androideabi${ANDROID_VERSION}" \ -DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake \ [additional

Cmake 3.25.3 (32-bit) - FileHorse

Última Versión Cmake 3.31.6 (64-bit) Sistema Operativo Windows 7 / Windows 8 / Windows 10 Ránking Usuario Haga clic para votar Autor / Producto Kitware, Inc. / Enlace Externo Nombre de Fichero cmake-3.22.4-windows-i386.msi En ocasiones, las últimas versiones del software pueden causar problemas al instalarse en dispositivos más antiguos o dispositivos que ejecutan una versión anterior del sistema operativo.Los fabricantes de software suelen solucionar estos problemas, pero puede llevarles algún tiempo. Mientras tanto, puedes descargar e instalar una versión anterior de Cmake 3.22.4 (32-bit). Para aquellos interesados en descargar la versión más reciente de Cmake o leer nuestra reseña, simplemente haz clic aquí. Todas las versiones antiguas distribuidas en nuestro sitio web son completamente libres de virus y están disponibles para su descarga sin costo alguno. Nos encantaría saber de tiSi tienes alguna pregunta o idea que desees compartir con nosotros, dirígete a nuestra página de contacto y háznoslo saber. ¡Valoramos tu opinión!

Cmake 3.26.0 (32-bit) - FileHorse

Mold: A Modern Linkermold is a faster drop-in replacement for existing Unix linkers. It is severaltimes quicker than the LLVM lld linker, the second-fastest open-source linker,which I initially developed a few years ago. mold aims to enhance developerproductivity by minimizing build time, particularly in rapiddebug-edit-rebuild cycles.Here is a performance comparison of GNU ld, GNU gold, LLVM lld, andmold when linking final debuginfo-enabled executables for major largeprograms on a simulated 16-core, 32-thread machine.Program (linker output size)GNU ldGNU goldLLVM lldmoldMySQL 8.3 (0.47 GiB)10.84s7.47s1.64s0.46sClang 19 (1.56 GiB)42.07s33.13s5.20s1.35sChromium 124 (1.35 GiB)N/A27.40s6.10s1.52smold is so fast that it is only 2x slower than the cp command on the samemachine. If you find that mold is not faster than other linkers, feelfree to file a bug report.mold supports x86-64, i386, ARM64, ARM32, 64-bit/32-bit little/big-endianRISC-V, 32-bit PowerPC, 64-bit big-endian PowerPC ELFv1, 64-bit little-endianPowerPC ELFv2, s390x, 64-bit/32-bit LoongArch, SPARC64, m68k, and SH-4.Why does linking speed matter?If you are using a compiled language such as C, C++, or Rust, a build consistsof two phases. In the first phase, a compiler compiles source files intoobject files (.o files). In the second phase, a linker takes all objectfiles and combines them into a single executable or shared library file.The second phase can be time-consuming if your build output is large. mold canspeed up this process, saving you time and preventing distractions whilewaiting for a lengthy build to finish. The difference is most noticeableduring rapid debug-edit-rebuild cycles.InstallationBinary packages for the following systems are currently available:How to Buildmold is written in C++20, so if you build mold yourself, you will need arecent version of a C++ compiler and a C++ standard library. We recommend GCC10.2 or Clang 12.0.0 (or later) and libstdc++ 10 or libc++ 7 (or later).Install DependenciesTo install build dependencies, run ./install-build-deps.sh in thisdirectory. It will detect your Linux distribution and attempt to install thenecessary packages. You may need to run it as root.Compile moldgit clone --branch stable mold./install-build-deps.shcmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_COMPILER=c++ -B buildcmake --build build -j$(nproc)sudo cmake --build build --target installYou might need to pass a C++20 compiler command name to cmake. In theexample above, c++ is passed. If that doesn't work for you, try a specificversion of a compiler, such as g++-10 or clang++-12.By default, mold is installed to /usr/local/bin. You can change theinstallation location by passing -DCMAKE_INSTALL_PREFIX=.For other cmake options, see the comments in CMakeLists.txt.If you are not using a recent enough Linux distribution, or if cmake doesnot work for you for any reason, you can use Podman to build mold in acontainer. To do so, run ./dist.sh in this directory instead of usingcmake. The shell script will pull a container image, build mold and auxiliaryfiles inside it, and package them into a single tar file nameddist/mold-$version-$arch-linux.tar.gz. You can extract. Compiling 32-bit vs 64-bit project using CMake. 16. How to install cmake on Windows 64 bit. 0. 64 bit executables not linked when the solution is created by cmake. 6. Compiling bit. 0. CMake won't link when moved to 64-bit system. 3. Why is cmake finding 32-bit libraries instead of 64-bit libs on a 64-bit system? 6.

Cmake 3.16.1 (32-bit) - FileHorse

Can be adapted to the CMake GUI as well.Un*xThe following procedure will build libjpeg-turbo on Unix and Unix-like systems. (On Solaris, this generates a 32-bit build. See “Build Recipes” below for 64-bit build instructions.)cd {build_directory}cmake -G"Unix Makefiles" [additional CMake flags] {source_directory}makeThis will generate the following files under {build_directory}:libjpeg.a Static link library for the libjpeg APIlibjpeg.so.{version} (Linux, Unix) libjpeg.{version}.dylib (Mac) cygjpeg-{version}.dll (Cygwin) Shared library for the libjpeg APIBy default, {version} is 62.2.0, 7.2.0, or 8.1.2, depending on whether libjpeg v6b (default), v7, or v8 emulation is enabled. If using Cygwin, {version} is 62, 7, or 8.libjpeg.so (Linux, Unix) libjpeg.dylib (Mac) Development symlink for the libjpeg APIlibjpeg.dll.a (Cygwin) Import library for the libjpeg APIlibturbojpeg.a Static link library for the TurboJPEG APIlibturbojpeg.so.0.2.0 (Linux, Unix) libturbojpeg.0.2.0.dylib (Mac) cygturbojpeg-0.dll (Cygwin) Shared library for the TurboJPEG APIlibturbojpeg.so (Linux, Unix) libturbojpeg.dylib (Mac) Development symlink for the TurboJPEG APIlibturbojpeg.dll.a (Cygwin) Import library for the TurboJPEG APIVisual C++ (Command Line)cd {build_directory}cmake -G"NMake Makefiles" -DCMAKE_BUILD_TYPE=Release [additional CMake flags] {source_directory}nmakeThis will build either a 32-bit or a 64-bit version of libjpeg-turbo, depending on which version of cl.exe is in the PATH.The following files will be generated under {build_directory}:jpeg-static.lib Static link library for the libjpeg APIjpeg{version}.dll DLL for the libjpeg APIjpeg.lib Import library for the libjpeg APIturbojpeg-static.lib Static link library for the TurboJPEG APIturbojpeg.dll DLL for the TurboJPEG APIturbojpeg.lib Import library for the TurboJPEG API{version} is 62, 7, or 8, depending on whether libjpeg v6b (default), v7, or v8 emulation is enabled.Visual C++ (IDE)Choose the appropriate CMake generator option for your version of Visual Studio (run cmake with no arguments for a list of available generators.) For instance:cd {build_directory}cmake -G"Visual Studio 10" [additional CMake flags] {source_directory}NOTE: Add “Win64” to the generator name (for example, “Visual Studio 10 Win64”) to build a 64-bit version of libjpeg-turbo. A separate build directory must be used

Cmake 3.24.3 (32-bit) - FileHorse

Implementation is based on the implementation in libjpeg v8, but it works when emulating libjpeg v7 or v6b as well. The default is to enable both arithmetic encoding and decoding, but those who have philosophical objections to arithmetic coding can add -DWITH_ARITH_ENC=0 or -DWITH_ARITH_DEC=0 to the CMake command line to disable encoding or decoding (respectively.)TurboJPEG Java WrapperAdd -DWITH_JAVA=1 to the CMake command line to incorporate an optional Java Native Interface (JNI) wrapper into the TurboJPEG shared library and build the Java front-end classes to support it. This allows the TurboJPEG shared library to be used directly from Java applications. See java/README for more details.If Java is not in your PATH, or if you wish to use an alternate JDK to build/test libjpeg-turbo, then (prior to running CMake) set the JAVA_HOME environment variable to the location of the JDK that you wish to use. The Java_JAVAC_EXECUTABLE, Java_JAVA_EXECUTABLE, and Java_JAR_EXECUTABLE CMake variables can also be used to specify alternate commands or locations for javac, jar, and java (respectively.) You can also set the CMAKE_JAVA_COMPILE_FLAGS CMake variable or the JAVAFLAGS environment variable to specify arguments that should be passed to the Java compiler when building the TurboJPEG classes, and the JAVAARGS CMake variable to specify arguments that should be passed to the JRE when running the TurboJPEG Java unit tests.Build Recipes32-bit Build on 64-bit Linux/UnixUse export/setenv to set the following environment variables before running CMake:CFLAGS=-m32LDFLAGS=-m3264-bit Build on SolarisUse export/setenv to set the following environment variables before running CMake:CFLAGS=-m64LDFLAGS=-m64Other CompilersOn Un*x systems, prior to running CMake, you can set the CC environment variable to the command used to invoke the C compiler.32-bit MinGW Build on Un*x (including Mac and Cygwin)Create a file called toolchain.cmake under {build_directory}, with the following contents:set(CMAKE_SYSTEM_NAME Windows)set(CMAKE_SYSTEM_PROCESSOR X86)set(CMAKE_C_COMPILER {mingw_binary_path}/i686-w64-mingw32-gcc)set(CMAKE_RC_COMPILER {mingw_binary_path}/i686-w64-mingw32-windres){mingw_binary_path} is the directory under which the MinGW binaries are located. Compiling 32-bit vs 64-bit project using CMake. 16. How to install cmake on Windows 64 bit. 0. 64 bit executables not linked when the solution is created by cmake. 6. Compiling bit. 0. CMake won't link when moved to 64-bit system. 3. Why is cmake finding 32-bit libraries instead of 64-bit libs on a 64-bit system? 6.

Cmake 3.27.2 (32-bit) - FileHorse

Seconds/ch in 32 GSa/s mode31.25 seconds/ch in 16 GSa/s mode(16-bit I & 16-bit Q sample pairs)62.5 seconds/ch in 32 GSa/s mode62.5 seconds/ch in 16 GSa/s mode(8-bit I & 8-bit Q sample pairs)5G NR – (200 MHz)DDC data rate per channel – 0.256 GSa/s IQ62.5 seconds/ch in 32 GSa/s mode62.5 seconds/ch in 16 GSa/s mode(16-bit I & 16-bit Q sample pairs)125 seconds/ch in 32 GSa/s mode125 seconds/ch in 16 GSa/s mode(8-bit I & 8-bit Q sample pairs)5G NR – (100 MHz)DDC data rate per channel – 0.128 GSa/s IQ125 seconds/ch in 32 GSa/s mode125 seconds/ch in 16 GSa/s mode(16-bit I & 16-bit Q sample pairs)250 seconds/ch in 32 GSa/s mode250 seconds/ch in 16 GSa/s mode(8-bit I & 8-bit Q sample pairs)The ADP7104 digitizer have excellent performance characteristics, critical for wideband signal capture.Production statistics for 40-channels (10 different ADP7104 modules):Sample Rate4 ChannelMode – 16 Gsa/s2 ChannelMode – 32 Gsa/s2 ChannelMode – 32 Gsa/sAnalog Bandwidth (-3dB)6.5 GHz6.5 GHz10 GHzAmplitude Flatness @-6 dBFs, -32 dBm to +22 dBm full scale (1 dB steps)(all values are typical and based on statistics)± 0.2 dB, fin= DC…6.0 GHz-3 dB, fin= 6.5 GHz± 0.2 dB, fin= DC…6.0 GHz-3 dB, fin= 6.5 GHz± 0.2 dB, fin= DC…8.0 GHz± 0.5 dB, fin= 8.0…9.5 GHz-3 dB, fin= 10 GHzGroup Delay @-6 dBFS, 1 dBm / 700 mV full scale(all values are typical and based on statistics)± 15 ps, fin= 500MHz…4.5 GHz± 25 ps, fin= 4.5…6.0 GHzN/A± 15 ps, fin= 500MHz…6.5 GHz± 25 ps, fin= 6.5…9.5 GHzN/AENOB @-3 dBFS, -4 dBm / 400 mV full scale(all values are typical and based on statistics)6.5, fin= DC…5.0 GHz6.4, fin= 5.0…6.5 GHz6.6, fin= DC…6.5 GHz6.2, fin= DC…1.0 GHz6.1, fin= 1.0…4.0 GHz5.9, fin= 4.0…5.0 GHz6.2, fin= 5.0…10.0 GHzSFDR @-3 dBFS, -4 dBm / 400 mV full scale(excluding harmonic distortion)(all values are typical and based on statistics)-64 dBc, fin= DC…1 GHz-64 dBc, fin= 1…3 GHz-50 dBc, fin= 3…6.5 GHz-64 dBc, fin= DC…1 GHz-64 dBc, fin= 1…3 GHz-50 dBc, fin= 3…6.5 GHz-64 dBc, fin= DC…3 GHz-64 dBc, fin= 3…5 GHz-60 dBc, fin= 5…7 GHz-60 dBc, fin= 7…9 GHz-58 dBc, fin= 9…10 GHzHD2, 2nd Harmonic @-3 dBFS, -4 dBm / 400 mV full scale(all values are typical and based on statistics)-62 dBc, fin= DC…1 GHz-55 dBc, fin= 1…2 GHz-53 dBc, fin= 2…3 GHz-62 dBc, fin= DC…1 GHz-55 dBc, fin= 1…2 GHz-53 dBc, fin= 2…3 GHz-61 dBc, fin= DC…1 GHz-56 dBc, fin= 1…2 GHz-53 dBc, fin= 2…3 GHz-46 dBc, fin= 3…4 GHz-43 dBc, fin= 4…6 GHzHD3, 3rd Harmonic @-3 dBFS, -4 dBm / 400 mV full scale(all values are typical and based on statistics)-52 dBc, fin= DC…1 GHz-51 dBc, fin= 1…2 GHz-52 dBc, fin= DC…1 GHz-51 dBc, fin= 1…2 GHz-52 dBc, fin= DC…1 GHz-50 dBc, fin= 1…2 GHz-48 dBc, fin= 2…3 GHz-45 dBc, fin= 3…4 GHzRMS noise @-4 dBm / 400 mV full scale(all values are typical and based on statistics)1.139 mVrms1.190 mVrms1.490 mVrmsUsing digital equalizer: 7,408,495 Digital equalization of multiple interleaved analog-to-digital converters – August 5, 2008Group Delay measured using: 9,933,467 Group delay measurement apparatus and method – April