RoHS Compliant in Accordance with EU Directive 2011/65/EU
- Lead-Free Termination Finish
- Exemption 7(c)-I, Electrical and electronic components containing
lead [Pb] in glass
Applications
Telecom Infrastructure
Optical Networking
Wireless Networks
Edge Routers
Internet/Network Security
Storage Area Networks
Network Attached Storage
Switches
RAID Controllers
Description
766 Series Resistor Networks are single packaged devices containing an array of homogeneous resistor elements.
CTS network designs provide a smaller circuit footprint, excellent reliability, improved TCR tracking and resistor
tolerance matching; while helping to save placement costs by reducing application component count.
Ordering Information
Model
766
Number
of Pins
16
Schematic
3
Resistor
Code
103
Resistor
Tolerance
G
RoHS
Compliant
P
Packaging
TR7
Code
14
16
Pin Count
14 Pins
16 Pins
Code Resistor Value *
10k ohm
103
See Addendum for
Standard EIA Values
Code
P
Compliance
RoHS
Packing
Code
Slide Pack
Blank
TR7 Tape & Reel, 7"
TR13 Tape & Reel, 13"
Schematic Type
Code
Bussed Circuit
1
Isolated Circuit
3
5 Dual Terminator Circuit
Ladder Circuit
7
Notes:
1. No dashes or spaces to appear in part number.
Schematic Types 1 & 3
Tolerance
Code
±5%
J
±2% [std]
G
±1%
F
±0.5%
D
Schematic Type 5
Tolerance
Code
±2%
Blank
Schematic Type 7
Tolerance
Code
±1 LSB
F
±0.5 LSB
D
[LSB = Least Significant Bit]
Not all performance combinations and frequencies may be available.
Contact your local CTS Representative or CTS Customer Service for availability.
This product is specified for use only in standard commercial applications. Supplier disclaims all express and implied warranties and liability in connection with any use of this
product in any non-commercial applications or in any application that may expose the product to conditions that are outside of the tolerances provided in its specification.
1 Introduction
In the mid-1960s, American scientist Maas conducted extensive experimental research on the charging process of open-cell batteries and proposed an acceptable charging curve for ...[详细]
据外媒报道,萨里大学(University of Surrey)的研究人员开发出一种无需依赖GPS即可在人口密集的城市地区精确定位设备位置的人工智能系统。该系统可将定位误差从734米缩小到22米以内,这对于自动驾驶汽车和救援车辆等技术的发展意义重大。 图片来源: 萨里大学 在发表于《IEEE Robotics and Automation Letters》的论文中,研究人员介绍了PEn...[详细]