数字逻辑设计第8章 Sequential Logic Design Practices.ppt

费诺编码matlab代码fano 顺序解码器 Matlab中用于数据通信和网络的卷积码顺序解码器（Fano算法） 问题陈述 Q42。 用于g1 = 110111001和g2 = 111011001的卷积码（2、1、11）解码的MATLAB代码，以及使用阈值最高为5的顺序解码对错误检测和纠正的百分比进行分析的MATLAB代码。 贡献者 Praveen Kumar古普塔-16CO235 沙申克P-16CO247 用法 在main.m ，更新生成函数，存储单元数，要传递给编码器的位长以及用于错误分析的最大错误位。 在此处运行所有脚本一次，以将功能加载到matlab控制台。 通过在matlab控制台中输入main来运行main模块。 请注意，错误分析可能需要一些时间来生成所有案例并根据给定案例所需的计算能力来编译错误。 用法示例 参数 g1 = [ 1 1 0 1 1 1 0 0 1 ]; g2 = [ 1 1 1 0 1 1 0 0 1 ]; threshold = 5 ; memory_bits = 11 ; input_bits = 4 ; max_errors = 6 ; 模组 mai

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深度学习库Keras中的Sequential是多个网络层的线性堆叠，在实现AlexNet与VGG等网络方面比较容易，因为它们没有ResNet那样的shortcut连接。在Keras中要实现ResNet网络则需要Model模型。 下面是Keras的Sequential具体示例： 可以通过向Sequential模型传递一个layer的list来构造该模型： from keras.models import Sequential from keras.layers import Dense, Activation model = Sequential([ Dense(32, input_dim=7

Sequential Monte Carlo in C++ 包括一片文章介绍SMC,然后是C++代码实现。

SNTO 是一种全局优化方法，在多维域中生成许多点； 选择最佳点，并围绕最佳点的邻域收缩域。 参见示例：统计学中的数论方法 作者：K?ai-t?ai Fang, Yuan Wang

Sequential Logic and Verilog HDL Fundamentals discusses the analysis and synthesis of synchronous and asynchronous sequential machines. These machines are implemented using Verilog Hardware Description Language (HDL), in accordance with the Institute of Electrical and Electronics Engineers (IEEE) Standard: 1364-1995.The book concentrates on sequential logic design with a focus on the design of various Verilog HDL projects. Emphasis is placed on structured and rigorous design principles that can be applied to practical applications. Each step of the analysis and synthesis procedures is clearly delineated. Each method that is presented is expounded in sufficient detail with accompanying examples. Many analysis and synthesis examples use mixed-logic symbols incorporating both positive- and negative-input logic gates for NAND (not AND) and NOR (not OR) logic, while other examples utilize only positive-input logic gates. The use of mixed logic parallels the use of these symbols in the industry.The book is intended to be a tutorial, and as such, is comprehensive and self-contained. All designs are carried through to completion?nothing is left unfinished or partially designed. Each chapter contains numerous problems of varying complexity to be designed by the reader using Verilog HDL design techniques. The Verilog HDL designs include the design module, the test bench module that tests the design for correct functionality, the outputs obtained from the test bench, and the waveforms obtained from the test bench.Sequential Logic and Verilog HDL Fundamentals presents Verilog HDL with numerous design examples to help the reader thoroughly understand this popular hardware description language. The book is designed for practicing electrical engineers, computer engineers, and computer scientists; for graduate students in electrical engineering, computer engineering, and computer science; and for senior-level undergraduate students.,解压密码 share.weimo.info

本机环境： cudatoolkit = 10.1.243 cudnn = 7.6.5 tensorflow-gpu = 2.1.0 keras-gpu = 2.3.1 今天在以TensorFlow2.1.0为后端的Keras中使用TensorBoard时报错，发现原因是keras和tf.keras混用导致的。报错与解决方案如下： 导致报错语句： summary = TensorBoard(log_dir="cnn_lstm_logs/",histogram_freq=1) 报错： ---> 54 summary = TensorBoard(log_dir="cnn_lstm_log

时间序列分析——The main focus of this book is on a systematic development of the theory of sequential hypothesis testing (Part I) and changepoint detection (Part II). In Part III, we briefly describe certain important applications where theoretical results can be used efficiently, perhaps with some reasonable modifications. We review recent accomplishments in hypothesis testing and changepoint detection both in decision-theoretic (Bayesian) and non-decision-theoretic (non-Bayesian) contexts. The emphasis is not only on more traditional binary hypotheses but also on substantially more difficult multiple decision problems. Scenarios with simple hypotheses and more realistic cases of (two and finitely many) composite hypotheses are considered and treated in detail. While our major attention is on more practical discrete-time models, since we strongly believe that life is discrete in nature??? (not only due to measurements obtained from devices and sensors with discrete sample rates), certain continuous-timemodels are also considered once in a while, especially when general results can be obtained very similarly in both cases. It should be noted that although we have tried to provide rigorous proofs of the most important results, in some cases we included heuristic argument instead of the real proofs as well as gave references to the sources where the proofs can be found.

Sequential File Prefetching In Linux Proc file system seq technology