Easy-to-Use, Ultra-Tiny, Differential, 16-Bit Delta Sigma ADC With I2C Interface The LTC2453 is an ultra-tiny, fully differential, 16-bit, analog-to-digital converter. The LTC2453 uses a single 2.7V to 5.5V supply and communicates through an I2C interface. The ADC is available in an 8-pin, 3mm x 2mm DFN package. It includes an integrated oscillator that does not require any external components. It uses a delta-sigma modulator as a converter core and has no latency for multiplexed applications. The LTC2453 includes a proprietary input sampling scheme that reduces the average input sampling current several orders of magnitude lower than conventional delta-sigma converters. Additionally, due to its architecture, there is negligible current leakage between the input pins.
标签： Differential Easy-to-Use Ultra-Tiny Interface
上传时间： 2014-01-08
上传用户：凤临西北
Single-chip 16-bit/32-bit microcontroller 512 kB flash With ISP/IAP, Ethernet, USB 2.0, CAN, and 10-bit
标签： microcontroller Single-chip bit Ethernet
上传时间： 2013-12-12
上传用户：xcy122677
The AT91SAM9261S is pin-to-pin compatible With the AT91SAM9261. Memory size available in this product is 16K bytes of SRAM and 32K bytes of ROM
标签： 9261 compatible pin-to-pin SAM
上传时间： 2014-01-07
上传用户：PresidentHuang
C++ class libraries for network-centric, portable applications, integrated perfectly With the C++ Standard Library. Includes network protocols (Sockets, HTTP, FTP, SMTP, POP3, etc.) and an XML parser. Licensed under Boost license.
标签： network-centric applications integrated libraries
上传时间： 2016-02-05
上传用户：chenxichenyue
Rich International Applications.With.Adobe.Flex.Java 2007刚出的书，作者是个由JAVA 转向 flex开发的人
标签： International Applications Adobe Rich
上传时间： 2013-11-29
上传用户：lifangyuan12
How the K-mean Cluster work Step 1. Begin With a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster With the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster With the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
标签： the decision clusters Cluster
上传时间： 2013-12-21
上传用户：gxmm
the principle and application of the LCD With byte
标签： application the principle byte
上传时间： 2016-02-06
上传用户：日光微澜
2． Using Gaussian elimination method and Gaussian elimination method With row scaled method to solve the following tri-diagonal system for n=10 and 100
标签： method elimination Gaussian scaled
上传时间： 2013-12-31
上传用户：lyy1234
1． Using power method to find the eigenvalue With maximum modulus and its eigenvector for the following matrixes
标签： eigenvector eigenvalue the maximum
上传时间： 2014-01-05
上传用户：kytqcool
Get up and running With PHP 5, Apache, and MySQL With ease. This guide demonstrates how to display dynamic content, build your own contact management system, create custom reports, work With XML, and much more
标签： With demonstrates and running
上传时间： 2013-12-30
上传用户：mhp0114
