mp3设计程序资料，采用c语言编写。 README file for yampp-3 source code 2001-05-27 This is the current state of the yampp-3 source code, 2001-05-27. This code is intended to run on Rev. B of the yampp-3 PCB, but can ofcourse be used on compatible systems as well. It still uses the "old" song selection system as the yampp-2. However, the disk handling routines has improved a lot and the obviosly, the new VS1001 handling has been put in. The codesize is almost at it s maximum at 1F40 bytes. A .ROM file is included if you don t have the compiler set up. For now, the documentation is in the code
上传时间： 2015-04-13
上传用户：小码农lz
prolog 找路例子程序： === === === === === === Part 1-Adding connections Part 2-Simple Path example | ?- path1(a,b,P,T). will produce the response: T = 15 P = [a,b] ? Part 3 - Non-repeating path As an example, the query: ?- path2(a,h,P,T). will succeed and may produce the bindings: P = [a,depot,b,d,e,f,h] T = 155 Part 4 - Generating a path below a cost threshold As an example, the query: ?- path_below_cost(a,[a,b,c,d,e,f,g,h],RS,300). returns: RS = [a,b,depot,c,d,e,g,f,h] ? RS = [a,c,depot,b,d,e,g,f,h] ? no ==================================
标签： Part connections example prolog
上传时间： 2015-04-24
上传用户：ljt101007
Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution ％ ％ compute the forward/backward Campbell/specgtrogram ％ ％ INPUT: ％ y (n x 2) each column is measured from a different sensor ％ /////// ％ __ ％ |s1| y(:,1) ％ |__| ％ __ ％ / \ ________|/ ％ | | | s2 |/ y(:,2) ％ \____/ --------|/ ％ ％ Fs Sampling frequnecy ％ ％ OUTPUT: ％ B spectrogram/Campbel diagram ％ x x-axis coordinate vector (time or Speed) ％ y y-axis coordinate vector (frequency [Hz])
标签： experience elliptical decompose important
上传时间： 2015-06-23
上传用户：372825274
加密算法 Test Driver for Crypto++, a C++ Class Library of Cryptographic Primitives: - To generate an RSA key cryptest g - To encrypt and decrypt a string using RSA cryptest r - To calculate MD5, SHS, and RIPEMD-160 message digests: cryptest m file - To encrypt and decrypt a string using DES-EDE in CBC mode: cryptest t - To encrypt or decrypt a file cryptest e|d input output - To share a file into shadows: cryptest s <pieces> <pieces-needed> file (make sure file has no extension, if you re running this under DOS) - To reconstruct a file from shadows: cryptest j output file1 file2 [....] - To gzip a file: cryptest z <compression-level> input output - To gunzip a file: cryptest u input output - To run validation tests: cryptest v - To run benchmarks: cryptest b [time for each benchmark in seconds]
标签： Cryptographic Primitives generate Library
上传时间： 2015-07-16
上传用户：wqxstar
This set of simulation files performs a computational complexity performance comparison of the two methods mentioned in the paper. The source is ANSI-C compliant, hence any C-compiler can be used to compile the source code. It has been tested using Visual Studio.net C++ and TI code composer studio C compiler for the TMS320C6701. Note that the performance comparison may be different for different platforms.
标签： computational performance complexity comparison
上传时间： 2014-12-22
上传用户：aig85
This section contains a brief introduction to the C language. It is intended as a tutorial on the language, and aims at getting a reader new to C started as quickly as possible. It is certainly not intended as a substitute for any of the numerous textbooks on C. 2. write a recursive function FIB (n) to find out the nth element in theFibanocci sequence number which is 1,1,2,3,5,8,13,21,34,55,…3. write the prefix and postfix form of the following infix expressiona + b – c / d + e * f – g * h / i ^ j4. write a function to count the number of nodes in a binary tr
标签： introduction the contains intended
上传时间： 2013-12-23
上传用户：liansi
ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University).
标签： Matlabtoolkit facilitate sequential functions
上传时间： 2015-08-31
上传用户：皇族传媒
palm编成,这种书很少,有兴趣看看 Title: Palm Programming: The Developer s Guide URL: http://safari.oreilly.com/JVXSL.asp?x=1&mode=section&sortKey=rank&sortOrder=desc&view=book&xmlid=1-56592-525-4&open=false&srchText=palm+programming&code=&h=&m=&l=1&catid=&s=1&b=1&f=1&t=1&c=1&u=1&page=0 ISBN: 1-56592-525-4 Author: Julie McKeehan/ Neil Rhodes Publisher: O Reilly Page: 478 Edition: 1st edition (December 1998) Catalog: PDA programming / Palm Format: pdf Size: 2.06M Supplier: Summary: Emerging as the bestselling hand-held computers of all time, PalmPilots have spawned intense developer activity and a fanatical following. Used by Palm in their developer training, this tutorial-style book shows intermediate to experienced C programmers how to build a Palm application from the ground up. Includes a CD-ROM with source code and third-party developer tools
标签： Programming Developer oreilly safari
上传时间： 2013-12-10
上传用户：litianchu
You can call MsgBoxEx instead of MsgBox MsgBoxEx will return the same vbMsgBoxResults as MsgBox, but adds the frm, Left, and Top parameters.
标签： MsgBoxEx MsgBox vbMsgBoxResults instead
上传时间： 2013-12-22
上传用户：zycidjl
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
标签： Introduction Classifiers Algorithms introduces
上传时间： 2015-10-20
上传用户：aeiouetla
