资源列表
zxb
- 这是盲信号的代码 都已经通过编译了 做这方面的同仁可以参考一下 我觉得蛮惯用的-This is the Blind have passed code compiled into this area of reference for my colleagues I think it is pretty usual
PCM_HUNFFMAN
- 模拟信号数字化的PCM量化以及哈夫曼编码-analog signal to the PCM digital quantification and Huffman coding
mentos_fs
- GSM TCH全速话音信道仿真（基带），包括内外编码，交织-TCH full speed GSM voice channel simulation (baseband), including internal and external encoding, interleaving
02101_28
- 单极性码间干扰与信道均衡，眼图观察均衡效果-Unipolar inter-symbol interference and channel equalization, eye observation balanced results
64qam
- 高斯噪声下的64QAM调制的误码率检测与理论值比较-Gaussian noise 64QAM modulation of the error detection rate compared with the theoretical value
8psk
- 高斯噪声下的8psk误码率检测与理论值比较-Gaussian noise of 8PSK BER detection compared with the theoretical value
Example2_6_1
- 用MATLAB对一图象分别用不同小波分解，观察高低频部分进行重构，比较重构误差，再进行阈值消噪，比较消噪前后图象。-MATLAB right one image with different wavelet decomposition, high-low-frequency observations for some remodeling, more reconstruction error and then de-noising, compared before and after image
Example2_4_1
- 用MATLAB对一图象分别用单尺度和二维小波分解，观察各高低频部分，对图象进行重构和压缩。-MATLAB image of a single yardstick were used and two-dimensional wavelet decomposition, the high-low frequency observation, right image reconstruction and compression.
Example6_11
- 用MATLAB对一语音信号进行小波分解，分别用强阈值，软阈值，默认阈植进行消噪处理。-MATLAB to a voice signal wavelet decomposition, respectively intensity threshold, soft threshold, the default threshold for planting Denoising.
Example6_8
- 用MATLAB对一语音信号进行小波分解，然后对其各层系数进行处理以达到小波抑制的目的，重构处理后的信号，画出波形分析。-MATLAB to a voice signal wavelet decomposition, its floors coefficient then processed to achieve the purpose of inhibiting Wavelet, reconstruction after the signal waveform analysis paint.
Example6_2
- 用MATLAB实现对一语音信号用不同小波进行分解，提取各层的高低频系数，画出各系数波形，并重构。-MATLAB voice signal to a different wavelet decomposition, from the high levels of low-frequency coefficients. he painted the waveform coefficients, and Reconstruction.
KuangjiaYouxianyuanMatlab
- 是个好东西，给大家共享了，希望对大家有帮助-is a good thing for everyone to share, we want to help