matlab

Progamming for MATLAB beginners

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

程序mtlab中的代码-地震波反应谱与时程波相互转换(Interconversion between seismic response spectrum and time-history wave)

matlab下编写的谱相减函数，用作语音增强(prepared under matlab spectral subtraction function, used for speech enhancement)

Matlab/Simulink OFDM 16 QAM Module

BPSK_QPSK LDPC基于MATLAB编译码仿真程序(BPSK_QPSK LDPC)

阵列信号处理中信源数目估计----盖而圆半径法(CITIC source array signal processing the estimated number of covered and Radii----)

一阶马尔可夫过程，由白噪声生成有色噪声，希望有帮助！(First order markov process, the colored noise generated by white noise, hope to have help!)

梯度域实现色调映射 利用matlab函数实现fattal算法(Gradient Domain HDR Sourcecode)

绝对齐全的语音识别代码，包括hmm dtw和语音特征的提取部分，有详细的说明和讲解(Absolutely wonderful speech recognition code, including the HMM DTW and speech feature extraction part, a detailed description and explanation)