Freescale Semiconductor

About: Freescale Semiconductor is a based out in . It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 7673 authors who have published 10781 publications receiving 149123 citations. The organization is also known as: Freescale Semiconductor, Inc..

Sensor and method of fabrication

Abstract: A sensor (10) includes a cavity (31) formed by a substrate (11), an adhesive (21), and a filter (22). A sensing element (14) is located inside the cavity (31) while electrical contacts (17, 18) coupled to the sensing element (14) are located outside the cavity (31). The filter (22) protects the sensing element (14) from physical damage and contamination during die singulation and other assembly processes. The filter (22) also improves the chemical sensitivity, selectivity, response times, and refresh times of the sensing element (14).

Method for forming a line-on-line multi-level metal interconnect structure for use in integrated circuits

Abstract: A method of manufacturing a semiconductor component with a multi-level interconnect system includes providing a substrate (11), fabricating a device (12) in the substrate (11), forming an interconnect layer (15) over the substrate (11), depositing a dielectric layer (20) over the interconnect layer (15), depositing a separate interconnect layer (21) over the dielectric layer (20), etching a via (31) in the separate interconnect layer (21) and in the dielectric layer (20), and depositing a different interconnect layer (40) over the separate interconnect layer (21) and in the via (31) wherein the another interconnect layer (40) electrically couples the interconnect layer (15) and the separate interconnect layer (21).

Low temperature cofireable dielectric paste

Abstract: A dielectric paste material may be used in the fabrication of multilayered ceramic modules to create circuit elements. The dielectric paste is a multiphase material in which at least one phase is an alkaline earth metal, transition metal silicate. This yields a dielectric paste with extremely good K & Q values suitable for high frequency applications which significantly reduce manufacturing costs of modules.

An Evolutionary Morphological Approach for Financial Time Series Forecasting

Abstract: This paper presents an evolutionary morphological approach for designing translation invariant operators for time series forecasting. It consists of an intelligent evolutionary model composed of a modular morphological neural network (MMNN) trained via an improved genetic algorithm (IGA) having optimal genetic operators to accelerate convergence of the genetic algorithm. The proposed design strategy searches for the minimum number of time lags to represent the time series, as well as the weights, architecture and number of modules of the MMNN. An experimental analysis is conducted with the proposed method using six real world financial time series and five well-known performance measurements, demonstrating good performance of MMNN systems for financial time series forecasting.

Tuning circuit for use with an integrated continuous time analog filter

Abstract: A tuning circuit (10) and method of operation for tuning an analog filter (40). The tuning circuit (10) has an integrator with an input portion (12) and a comparator portion (14), a counter (32), and a decoder (34). The integrator is implemented with an RC time constant which is proportional to an RC time constant of the analog filter (40). The comparator portion (14) provides an enable signal during the RC time constant of the integrator to the counter (16) which quantizes the RC time constant relative to a clock period of the counter (16). A predetermined decoding is performed to provide an output control signal to control adjustment of the RC time constant of the analog filter (40).