Communication-system-matlab-simulink

说明：  matlab系统仿真实例教程，ch10\m10_5.rar(examples of system simulation matlab tutorial, ch10 \ m10_5.rar)

image segmentation papers

gui tutorial images part1

The combination of EEM fluorescence and parallel factor analysis has proved to be a promising tool for studying DOM. These relatively inexpensive fluorescence measurements can be used in combination with other measurements to rapidly quantify and characterize DOM across a range of environments. This approach also has great potential in a wide range of other applications such as drinking water monitoring, waste water treatment control and the evaluation of ballast water exchange in ships. However, as with many new techniques, it is not as straightforward as could be desired and there are a range of potential pitfalls. For the approach to persist and become a trustworthy method, a basis for a standardized approach was required.

This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. (This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. )

Essential MATLAB for Engineers and Scientists - 3ed. Brian D. Hahn, Daniel T. Valentine 2007

chirp信号产生比较 If you are aware of this and would still like to have a pseudo-chirp then you can take a look at the example below. I show the difference between trying to generate the type of chirp you are after and a real chirp signal. I also plot the derivative of the resulting signals, so I can highlight that between half cycles you will have a sometimes subtle (sometimes not so subtle) jump in gradient. (chirp signal generation If you are aware of this and would still like to have a pseudo-chirp then you can take a look at the example below. I show the difference between trying to generate the type of chirp you are after and a real chirp signal. I also plot the derivative of the resulting signals, so I can highlight that between half cycles you will have a sometimes subtle (sometimes not so subtle) jump in gradient. )

数据整理，数据和标签和样本数量之间的匹配，当然也可以用其他方法，仅供参考(Data collation, matching between data and label and sample quantity, of course, other methods can be used, for reference only)

Turbo码的编、译码算法对误码率的影响(Effect of Encoding and Decoding Algorithm of Turbo codes bit error rate)

DMC Algorythm in SIMULINK