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This is a little console mode utility program which is able to (de-)compress single files with a static Arithmetic compression algorithm. You could easily add the RLE/BWT/MFT data transformation algorithms. Just rip the corresponding classes out of my HuffComp source code. I won t add these ones ...

This is the machine-generated representation of a Handle Graphics object and its children. Note that handle values may change when these objects are re-created. This may cause problems with any callbacks written to depend on the value of the handle at the time the object was saved.

本书以4个面向来表现C++的本质：procedural（程序性的）、generic（泛型的）、object-based（个别对象的）、object-oriented（面向对象的）。本书的组织围绕着一系列逐渐繁复的程序问题，以及用以解决这些问题的语言特性。循此方式，你不只学到C++的函数和结构，也会学习到它们的设计目的和基本原理。 你可以由本书发现以下 ...

CarSim is an application for the simulating the (simplified) movement of cars on a two-dimensional surface. Package ope.carsim contains classes that represent the problem domain: cars and locations. Package ope.carsim.gui contains a user interface for the application.

主要考察的是资源池的设计和实现， Domain Model比较简单，仅用于测试资源池，因此IDL也仅仅实现基本存取功能。本资源池的设计主要参考Object Resource Pooling这篇文章中介绍的基本框架

* KeyDebounce Accept new key reading, handle timing for debounce & slew * KeyId Report which key is currently pressed * KeySlewTimeSet Accept slew time for key currently pressed

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimatio ...

This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive ...

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space d ...

This paper addresses the issues relating to the enforcement of robust stability when implementing the Adaptive Inverse Control (AIC) scheme. In this scheme, an adaptive FIR filter is added to a closed-loop system in order to reduce the output error caused by external disturbances, enhancing the perf ...