DSP音頻處理示例The benefits of real-time analysis provided by DSP/BIOS are often required in programs that
were engineered without it. When the program is not built from the ground up using the
DSP/BIOS kernel and real-time analysis features, the lack of familiarity prevents engineers
from reaping the benefits of this very powerful tool set, especially in the final stage of
development when real-time analysis is needed most. This application note provides an
example of the necessary steps required to utilize DSP/BIOS features in order to bring these
solutions to bear in an existing application.
This Source.zip has three application code folders containing .java and .class files and two .jar files as follows:
1. desktop-side_JXTA4JMS
2. mobile-side_JXTA4JMS
3. JMS Test Client
4. Listener.jar
5. JMSTestClient.jar
We now explain execution steps, we followed, to run this JXTA4JMS application.
Before we try we require Application softwares and need to configure JXTA relay and J2EE server.
Summary
Many control applications require converting some analog input to a digital format. The ADCINC12 User
Module is a general-purpose, 12-bit analog to digital converter (ADC) that does just that. This Application
Note is meant to be a simple introduction into its operation. The steps required to define, place, and write
software are presented. Examples are developed in both assembly and C.
As science advances, novel experiments are becoming more and more complex, requiring a zoo of control devices and electronics executing complicated sequences of steps. Device availability and monetary constrains usually lead to a highly heterogeneous setup with components from several different manufacturers using many different protocols and interfacing mechanisms. This often results in control software being puzzled together to use and provide a multitude of interfacing and control functionality, each using their own calling conventions, data structures, etc. To make matters worse, usually a group of relatively independent programmers is trying to write and maintain the code base. Often this causes extensive duplication of effort as program segments are hard to reuse, since unpredictable changes to the segments by the original authors might compromise other code using these segments.
On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
The VGA example generates a 320x240 diffusion-limited-aggregation (DLA) on Altera DE2 board. A DLA is a clump formed by sticky particles adhering to an existing structure. In this design, we start with one pixel at the center of the screen and allow a random walker to bounce around the screen until it hits the pixel at the center. It then sticks and a new walker is started randomly at one of the 4 corners of the screen. The random number generators for x and y steps are XOR feedback shift registers (see also Hamblen, Appendix A). The VGA driver, PLL, and reset controller from the DE2 CDROM are necessary to compile this example. Note that you must push KEY0 to start the state machine.
I often need a simple function generator. Just to generate a certain frequency. After all the years I ve worked with electronics, I still haven t got me one. Even though I need it now and then, I just couldn t seem to justify the cost of one.
So, standard solution - build one yourself.
I designed a simple sinewave generator based on a Analog Devices AD9832 chip. It will generate a sinewave from 0.005 to 12 MHz in 0.005 Hz steps.
That s pretty good, and definitely good enough for me ! But while waiting for the AD9832 chip to arrive, I came up with a very simple version of the DDS synth, using just the 2313 and a resistor network.
MATLAB Code for Optimal Quincunx Filter
Bank Design
Yi Chen
July 17, 2006
This file introduces the MATLAB code that implements the two algorithms (i.e., Algorithms
1 and 2 in [1], or Algorithms 4.1 and 4.2 in [2]) used for the construction of
quincunx filter banks with perfect reconstruction, linear phase, high coding gain, certain
vanishing moments properties, and good frequency selectivity. The code can be
used to design quincunx filter banks with two, three, or four lifting steps. The SeDuMi
Matlab toolbox [3] is used to solve the second-order cone programming subproblems
in the two algorithms, and must be installed in order for this code to work.
