Installing Wavelet Toolbox Software To install this toolbox on your computer, see the appropriate platform-specific MATLAB ® installation guide. To determine if the Wavelet Toolbox™ software is already installed on your system, check for a subfolder named wavelet within the main toolbox folder. Wavelet Toolbox software can perform signal or image analysis. For indexed images or truecolor images (represented by m-by- n-by-3 arrays of uint8), all wavelet functions use floating-point operations. To avoid Out of Memory errors, be sure to allocate enough memory to process various image sizes. The memory can be real RAM or can be a combination of RAM and virtual memory. See your operating system documentation for how to configure virtual memory.

Microsoft visual studio 2005 pro final dvd iso file. System Recommendations While not a requirement, we recommend you obtain Signal Processing Toolbox™ and Image Processing Toolbox™ software to use in conjunction with the Wavelet Toolbox software. These toolboxes provide complementary functionality that give you maximum flexibility in analyzing and processing signals and images. This manual makes no assumption that your computer is running any other MATLAB toolboxes. Platform-Specific Details Some details of the use of the Wavelet Toolbox software may depend on your hardware or operating system.

Installing Prerequisite Products. Image Processing Toolbox™(recommended). If you have installed MATLAB and want to check which other MathWorks products are. Image Processing on a GPU To take advantage of the performance benefits offered by a modern graphics processing unit (GPU), certain Image Processing Toolbox™ functions have been enabled to perform image processing operations on a GPU.

Windows Fonts We recommend you set your operating system to use “Small Fonts.” Set this option by clicking the Display icon in your desktop's Control Panel (accessible through the Settings > Control Panel submenu). Select the Configuration option, and then use the Font Size menu to change to Small Fonts. You'll have to restart Windows ® for this change to take effect. Fonts for Non-Windows Platforms We recommend you set your operating system to use standard default fonts. However, for all platforms, if you prefer to use large fonts, some of the labels in the Wavelet Analyzer app figures may be illegible when using the default display mode of the toolbox.

To change the default mode to accept large fonts, use the function. (For more information, see either the help or its reference page.) Mouse Compatibility Wavelet Toolbox software was designed for three distinct types of mouse control.

Linux ® Windows ® GCC C/C++ compiler 6.3.x Microsoft ® Visual Studio ® 2013 Microsoft Visual Studio 2015 Microsoft Visual Studio 2017 The NVIDIA nvcc compiler supports multiple versions of GCC and therefore you can generate CUDA code with other versions of GCC. However, there may be compatibility issues when executing the generated code from MATLAB as the C/C++ run-time libraries that are included with the MATLAB installation are compiled for GCC 6.3. Code Generation for Deep Learning Networks The code generation requirements for deep learning networks depends on the platform you are targeting. NVIDIA GPUs Hardware Requirements CUDA enabled GPU with compute capability 3.2 or higher. Targeting NVIDIA TensorRT™ libraries with INT8 precision requires a CUDA GPU with minimum compute capability of 6.1.

Software Libraries CUDA Deep Neural Network library () v7.x. NVIDIA – high performance deep learning inference optimizer and runtime library, v3.0. Operating System Support cuDNN support is on Windows and Linux. TensorRT support is only on Linux. Other Open Source Computer Vision Library (), v3.1.0 is required for deep learning examples. Note: The examples require separate libs such as, opencv_core.lib opencv_video.lib. The OpenCV library that ships with Computer Vision System Toolbox does not have all the required libraries and the installer does not install them.